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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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stability assessment of converter-dominated transmission systems. The research combines power systems, numerical methods and scientific computing, with a strong emphasis on software development and practical
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doctorate, contains: Artificial Neural Networks and Large Language Models offer state-of-the-art performance at numerous AI tasks, but being black boxes, they lack explainability which makes them difficult
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
transition enhancing sustainable energy technologies that involve renewable carbon-free fuels, efficient energy conversion, and pollutant emissions reduction. The group focuses on numerical simulations
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-order modelling, surrogate models, and machine-learning methods such as neural networks. Control design for flexible reactor operation. Develop advanced control strategies that enable safe and efficient